Triple
T20098951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zollernalbkreis |
E496480
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Meßstetten
Meßstetten is a town in the Zollernalb district of Baden-Württemberg, Germany, situated on the Swabian Jura plateau.
|
E1445180
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Meßstetten | Statement: [Zollernalbkreis, contains, Meßstetten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meßstetten Context triple: [Zollernalbkreis, contains, Meßstetten]
-
A.
Hochstetten
Hochstetten is a locality within the town of Breisach am Rhein in the Baden-Württemberg region of southwestern Germany.
-
B.
Hettstadt
Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
-
C.
Söhnstetten
Söhnstetten is a village in the Heidenheim district of Baden-Württemberg, Germany, known as a part of the municipality of Steinheim am Albuch on the Swabian Jura.
-
D.
Feldstetten
Feldstetten is a village in the Swabian Alb region of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
-
E.
Thunstetten
Thunstetten is a municipality in the Oberaargau region of the canton of Bern in Switzerland, known for its rural character and historic Thunstetten Castle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Meßstetten Triple: [Zollernalbkreis, contains, Meßstetten]
Generated description
Meßstetten is a town in the Zollernalb district of Baden-Württemberg, Germany, situated on the Swabian Jura plateau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meßstetten Target entity description: Meßstetten is a town in the Zollernalb district of Baden-Württemberg, Germany, situated on the Swabian Jura plateau.
-
A.
Hochstetten
Hochstetten is a locality within the town of Breisach am Rhein in the Baden-Württemberg region of southwestern Germany.
-
B.
Hettstadt
Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
-
C.
Söhnstetten
Söhnstetten is a village in the Heidenheim district of Baden-Württemberg, Germany, known as a part of the municipality of Steinheim am Albuch on the Swabian Jura.
-
D.
Feldstetten
Feldstetten is a village in the Swabian Alb region of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
-
E.
Thunstetten
Thunstetten is a municipality in the Oberaargau region of the canton of Bern in Switzerland, known for its rural character and historic Thunstetten Castle.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7c821a08190bacd148d57c9be93 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d8aa839c81908be2c3e5c8f54ef5 |
completed | May 16, 2026, 8:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d9784a08819080de2a65fc129e94 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 11, 2026, 11:26 p.m.